Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov. Towards Computationally Feasible Deep Active Learning. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 1198-1218, Association for Computational Linguistics, 2022. [doi]
@inproceedings{TsvigunSKSLGAZ22,
title = {Towards Computationally Feasible Deep Active Learning},
author = {Akim Tsvigun and Artem Shelmanov and Gleb Kuzmin and Leonid Sanochkin and Daniil Larionov and Gleb Gusev and Manvel Avetisian and Leonid Zhukov},
year = {2022},
url = {https://aclanthology.org/2022.findings-naacl.90},
researchr = {https://researchr.org/publication/TsvigunSKSLGAZ22},
cites = {0},
citedby = {0},
pages = {1198-1218},
booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
publisher = {Association for Computational Linguistics},
isbn = {978-1-955917-76-6},
}